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Universal Backward-Compatible Representation Learning Conventional model upgrades for visual search systems require offline refresh of gallery features by feeding gallery images into new models (dubbed as...
Read articleWondering how to ensure Zoom security for your business and other communications? Check out these tips to secure your Zoom chats and meetings without hassle. Zoom...
Read articleThis guide provides you with 15 ways to know if someone is spying on your cell phone, plus how you can remove spy software alongside stopping...
Read articlePublic DNS servers are an excellent means to protect your privacy, bypass content restrictions, and get faster speeds. Find your best pick right here and enjoy...
Read articleSurveillance and spying have been a rising trend around the world. Do you think you have never been spied on? Think again. The Government, security agencies, ISP,...
Read articleThe dark web is a part of the internet where you only step in with a specific tool. It hosts onion links that you cannot access...
Read articleThis comprehensive list of the best network scanning tools helps you pick the right tool for finding and fixing any vulnerabilities free. Network and IP scanning...
Read articleTorrents come in as a savior when every service exploits users’ demands by offering premium services. So whether you wish to download an ebook torrent or...
Read article3D visual grounding, the task of identifying visual objects in 3D scenes based on natural language inputs, plays a critical role in enabling machines to understand...
Read articleA Bi-lingual Benchmark for Text Segmentation in the Wild As a prerequisite of many text-related tasks such as text erasing and text style transfer, text segmentation...
Read articleA Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion Typically, singing voice conversion (SVC) depends on an embedding vector, extracted from either a speaker lookup...
Read articleAccelerating the Training of Video Super-Resolution Models Despite that convolution neural networks (CNN) have recently demonstrated high-quality reconstruction for video super-resolution (VSR), efficiently training competitive VSR...
Read articleLayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation Recently, diffusion models have achieved great success in image synthesis. However, when it comes to the layout-to-image generation where...
Read articleAccelerating Vision-Language Pretraining with Free Language Modeling The state of the arts in vision-language pretraining (VLP) achieves exemplary performance but suffers from high training costs resulting...
Read articleOSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer Omnidirectional images (ODIs) have obtained lots of research interest for immersive experiences. Although ODIs require extremely high resolution to...
Read articleSGAT4PASS:Spherical Geometry=Aware Transformer for PAnoramic Semantic Segmentation As an important and challenging problem in computer vision, PAnoramic Semantic Segmentation (PASS) gives complete scene perception based on...
Read articleTask-Aware Dual-Representation Network for Few-Shot Action Recognition Few-shot action recognition has attracted increasing attention in recent years, but it remains challenging due to the intrinsic difficulty...
Read articleDeSRA: Detect and Delete the Artifacts of GAN-based Real-World Super-Resolution Models Image super-resolution (SR) with generative adversarial networks (GAN) has achieved great success in restoring realistic...
Read articlePi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation Foundation models have achieved great advances in multi-task learning with a unified interface of unimodal and multimodal...
Read articleNeRF-Texture: Texture Synthesis With Neural Radiance Fields Texture synthesis is a fundamental problem in computer graphics that would benefit various applications. Existing methods are effective in...
Read articleBinary Embedding-based Retrieval at Tencent Large-scale embedding-based retrieval (EBR) is the cornerstone of search-related industrial applications. Given a user query, the system of EBR aims to...
Read articleProsody Modeling with 3D Visual Information for Expressive Video Dubbing The automatic video dubbing task is proposed to meet personal and industrial demands for dubbing. Current...
Read articleUnleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection We present an approach to efficiently and effectively adapt a masked image modeling (MIM) pre-trained...
Read articleTune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation To replicate the success of text-to-image (T2I) generation, recent works employ large-scale video datasets to train...
Read articleTransfer learning has emerged to be crucial in various computer vision tasks benefiting from the vast availability of pre-trained deep learning models. However, selecting an optimal...
Read articleVideo Tagging intends to infer multiple tags spanning relevant content for a given video. Typically, video tags are freely defined and uploaded by a variety of...
Read articleMasaCtrl: Tuning-free Mutual Self-Attention Control for Consistent Image Synthesis and Editing Despite the success in large-scale text-to-image generation and text-conditioned image editing, existing methods still struggle...
Read articleSpeech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video Synthesizing realistic videos according to a given speech is still an open challenge. Previous...
Read articleOmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution Omnidirectional images (ODIs) have become increasingly popular, as their large field-of-view (FoV) can offer the...
Read articleHOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video We introduce HOSNeRF, a novel 360° free-viewpoint rendering method that reconstructs neural radiance fields for dynamic...
Read articleVMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis With the emergence of neural radiance fields (NeRFs), view synthesis quality has reached an unprecedented level. Compared to...
Read articleCL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation Existing methods for adapting Neural Radiance Fields (NeRFs) to scene changes require extensive data capture...
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